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Colin G. Magdamo
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2020 – today
- 2024
- [i7]Matthew West, Colin G. Magdamo, Lily Cheng, Yingnan He, Sudeshna Das:
Leveraging Pre-trained and Transformer-derived Embeddings from EHRs to Characterize Heterogeneity Across Alzheimer's Disease and Related Dementias. CoRR abs/2404.00464 (2024) - [i6]Karthik Gopinath, Douglas N. Greve, Colin G. Magdamo, Steven E. Arnold, Sudeshna Das, Oula Puonti, Juan Eugenio Iglesias:
Recon-all-clinical: Cortical surface reconstruction and analysis of heterogeneous clinical brain MRI. CoRR abs/2409.03889 (2024) - 2023
- [j2]Bella Vakulenko-Lagun, Colin G. Magdamo, Marie-Laure Charpignon, Bang Zheng, Mark W. Albers, Sudeshna Das:
causalCmprsk: An R package for nonparametric and Cox-based estimation of average treatment effects in competing risks data. Comput. Methods Programs Biomed. 242: 107819 (2023) - [j1]Yi-han Sheu, Colin G. Magdamo, Matthew Miller, Sudeshna Das, Deborah Blacker, Jordan W. Smoller:
AI-assisted prediction of differential response to antidepressant classes using electronic health records. npj Digit. Medicine 6 (2023) - [c2]Karthik Gopinath, Douglas N. Greve, Sudeshna Das, Steven E. Arnold, Colin G. Magdamo, Juan Eugenio Iglesias:
Cortical Analysis of Heterogeneous Clinical Brain MRI Scans for Large-Scale Neuroimaging Studies. MICCAI (8) 2023: 35-45 - [i5]Karthik Gopinath, Douglas N. Greve, Sudeshna Das, Steven E. Arnold, Colin G. Magdamo, Juan Eugenio Iglesias:
Cortical analysis of heterogeneous clinical brain MRI scans for large-scale neuroimaging studies. CoRR abs/2305.01827 (2023) - 2022
- [c1]Benjamin Billot, Colin G. Magdamo, Steven E. Arnold, Sudeshna Das, Juan Eugenio Iglesias:
Robust Segmentation of Brain MRI in the Wild with Hierarchical CNNs and No Retraining. MICCAI (5) 2022: 538-548 - [i4]Benjamin Billot, Colin G. Magdamo, Sean E. Arnold, Sudeshna Das, Juan Eugenio Iglesias:
Robust Segmentation of Brain MRI in the Wild with Hierarchical CNNs and no Retraining. CoRR abs/2203.01969 (2022) - [i3]Benjamin Billot, Colin G. Magdamo, Steven E. Arnold, Sudeshna Das, Juan Eugenio Iglesias:
Robust machine learning segmentation for large-scale analysis of heterogeneous clinical brain MRI datasets. CoRR abs/2209.02032 (2022) - 2021
- [i2]Tanish Tyagi, Colin G. Magdamo, Ayush Noori, Zhaozhi Li, Xiao Liu, Mayuresh Deodhar, Zhuoqiao Hong, Wendong Ge, Elissa M. Ye, Yi-han Sheu, Haitham Alabsi, Laura Brenner, Gregory K. Robbins, Sahar Zafar, Nicole Benson, Lidia M. V. R. Moura, John Hsu, Alberto Serrano-Pozo, Dimitry Prokopenko, Rudolph E. Tanzi, Bradley T. Hyman, Deborah Blacker, Shibani S. Mukerji, M. Brandon Westover, Sudeshna Das:
Using Deep Learning to Identify Patients with Cognitive Impairment in Electronic Health Records. CoRR abs/2111.09115 (2021) - 2020
- [i1]Zhuoqiao Hong, Colin G. Magdamo, Yi-han Sheu, Prathamesh Mohite, Ayush Noori, Elissa M. Ye, Wendong Ge, Haoqi Sun, Laura Brenner, Gregory K. Robbins, Shibani Mukerji, Sahar Zafar, Nicole Benson, Lidia M. V. R. Moura, John Hsu, Bradley T. Hyman, M. Brandon Westover, Deborah Blacker, Sudeshna Das:
Natural Language Processing to Detect Cognitive Concerns in Electronic Health Records Using Deep Learning. CoRR abs/2011.06489 (2020)
Coauthor Index
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